Print Email Facebook Twitter SUNDS probabilistic human health risk assessment methodology and its application to organic pigment used in the automotive industry Title SUNDS probabilistic human health risk assessment methodology and its application to organic pigment used in the automotive industry Author Pizzol, L. Hristozov, D. Zabeo, A. Gianpietro, B. Wohlleben, W. Koivisto, A.J. Jensen, K.A. Fransman, W. Stone, V. Marcomini, A. Publication year 2019 Abstract The increasing use of engineered nanomaterials (ENMs) in nano-enabled products (NEPs) has raised societal concerns about their possible health and ecological implications. To ensure a high level of human and environmental protection it is essential to properly estimate the risks of these new materials and to develop adequate risk management strategies. To this end, we propose a quantitative Human Health Risk Assessment (HHRA) methodology, which was developed in the European Seventh Framework research project SUN (Sustainable Nanotechnologies) and implemented in the web-based SUN Decision Support System (SUNDS). One of the major strengths of this probabilistic approach as compared to its deterministic alternatives is its ability to clearly communicate the uncertainties in the estimated risks in order to support better risk communication for more objective decision making by industries and regulators. To demonstrate this methodology, we applied it in a real case study involving a nanoscale organic red pigment used in the automotive industry. Our analysis clearly showed that the main source of uncertainty was the extrapolation from (sub)acute in vivo toxicity data to long-term risk. This extrapolation was necessary due to a lack of (sub)chronic in vivo studies for the investigated nanomaterial. Despite the high uncertainty in the final results due to the conservative assumptions made in the risks assessment, the estimated risks are acceptable for all investigated exposure scenarios along the product lifecycle. Subject LifeRAPID - Risk Analysis for Products in DevelopmentELSS - Earth, Life and Social SciencesFood and NutritionHealthHealthy LivingArtificial intelligenceAutomotive industryDecision support systemsExtrapolationHealthHealth risksLife cycleNanostructured materialsNanotechnologyRisk perceptionUncertainty analysisEngineered nanomaterialsHuman health risk assessmentOrganic red pigmentsProbabilistic approachesProduct-life-cycleRisk communicationRisk management strategiesSustainable nanotechnologiesRisk assessment To reference this document use: http://resolver.tudelft.nl/uuid:9d548cba-b9e3-42ce-ac05-c38671f7e971 DOI https://doi.org/10.1016/j.impact.2018.12.001 TNO identifier 844061 Source NanoImpact, 13, 26-36 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.